Results 111 to 120 of about 2,877,467 (378)

Simulations of Wide-Field Weak Lensing Surveys II: Covariance Matrix of Real Space Correlation Functions

, 2011
Using 1000 ray-tracing simulations for a {\Lambda}-dominated cold dark model in Sato et al. (2009), we study the covariance matrix of cosmic shear correlation functions, which is the standard statistics used in the previous measurements.
Albrecht, Albrecht, Cooray, Doré, Eisenstein, Hamana, Hicken, Hu, Jarvis, Kaiser, Komatsu, Mantz, Masahiro Takada, Masanori Sato, Miyazaki, Okumura, Perlmutter, Refregier, Riess, Sato, Seo, Spergel, Takahashi, Takahiko Matsubara, Takashi Hamana, Taruya, Van Waerbeke, Van Waerbeke, Vikhlinin, White   +29 more
core   +1 more source

BAYESIAN INFERENCE FOR A COVARIANCE MATRIX

Conference on Applied Statistics in Agriculture, 2014
Final version, already published in proceedings, Proceedings of 26th Annual Conference on Applied Statistics in Agriculture.
Alvarez, Ignacio, Niemi, Jarad, Simpson, Matt   +2 more
openaire   +4 more sources

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

The Kullback–Leibler Divergence and the Convergence Rate of Fast Covariance Matrix Estimators in Galaxy Clustering Analysis

The Astrophysical Journal
We present a method to quantify the convergence rate of the fast estimators of the covariance matrices in the large-scale structure analysis. Our method is based on the Kullback–Leibler (KL) divergence, which describes the relative entropy of two ...
Zhigang Li, Zhejie Ding, Yu Yu, Pengjie Zhang   +3 more
doaj   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions

, 2017
In this paper we consider the asymptotic distributions of functionals of the sample covariance matrix and the sample mean vector obtained under the assumption that the matrix of observations has a matrix-variate location mixture of normal distributions ...
Bodnar, Taras, Mazur, Stepan, Parolya, Nestor   +2 more
core  

Covariance, correlation matrix and the multi-scale community structure of networks

, 2010
Empirical studies show that real world networks often exhibit multiple scales of topological descriptions. However, it is still an open problem how to identify the intrinsic multiple scales of networks.
Cheng, Xue-Qi, Fang, Bin-Xing, Shen, Hua-Wei   +2 more
core   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source

Convex Replica Simmetry Breaking From Positivity and Thermodynamic Limit

, 2003
Consider a correlated Gaussian random energy model built by successively adding one particle (spin) into the system and imposing the positivity of the associated covariance matrix.
Contucci, Pierluigi, Graffi, Sandro
core   +2 more sources

AOe07 Variance-Covariance-Matrix

, 2023
The Atmosphere and Ocean non-tidal De-aliasing Level-1B (AOD1B) product is widely used in satellite gravimetry to correct for transient effects of atmosphere-ocean mass variability that would otherwise alias into monthly-mean global gravity fields. The most recent release is based on the global ERA5 reanalysis and ECMWF operational data together with ...
Shihora, L., Balidakis, K., Dill, R., Dobslaw, H.   +3 more
openaire   +2 more sources